Skip to content
R package - An Implementation of Interaction Graphs of Aleks Jakulin (stat.columbia.edu/~jakulin/Int/)
R
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
R
data
man
tests
vignettes
.Rbuildignore
.gitignore
.travis.yml
DESCRIPTION
NAMESPACE
NEWS.md
README.Rmd
README.md
cran-comments.md
integr.Rproj

README.md

Interaction Graphs package ‘integr’

The Interaction Graphs package ‘integr’ is an implementation of Interaction Analysis of Aleks Jakulin (http://stat.columbia.edu/~jakulin/Int/). It provides a GraphViz graph of 3-way interactions (i.e. conditional Information Gain) based on a provided discrete data.frame (i.e. all columns are factors). This graph serves to analyze the correlations between the attributes, as well to select the most informative attributes in the context of predictive machine learning modeling. The obtained interaction graph can be exported to various output formats: Graphviz file, SVG, PNG, PDF, or PS images.

In the following text, installation guides (from CRAN and GitHub) and a simple example for using the package are provided. For more detailed information on Interaction Graphs methodology, please consult the Tutorial vignette of this package using the command, after the package is installed:

vignette("IntGraphTutorial", package = "integr")

or visit the webpage of Aleks Jakulin (http://stat.columbia.edu/~jakulin/Int/).

Installation

One can install the released version of integr from CRAN with:

install.packages("integr")

Or from GitHub with:

library("devtools") #devtools package needs to be installed first!
install_github("peleplay/integr", build_opts = c("--no-resave-data", "--no-manual"), build_vignettes = TRUE)

Example

A basic example which shows how to generate an Interaction Graph and export it to various formats is provided below. The same example is used in the Tutorial vignette.

#load integr package (needs to be installed first!)
library("integr")

#read Golf toy-dataset
data("golf")

#create an Interaction graph object
g <- interactionGraph(golf, classAtt = "Play", intNo = 10, speedUp = FALSE)

#plot the Interaction graph object (in RStudio!)
plotIntGraph(g)

#export the Interaction graph object to a Graphviz file
igToGrViz(g, path = "myFolder", fName = "myInteractionGraph")

#export the Interaction graph object to a SVG image
igToSVG(g, path = "myFolder", fName = "myInteractionGraph", h = 2000)

#export the Interaction graph object to a PNG image
igToPNG(g, path = "myFolder", fName = "myInteractionGraph", h = 2000)

#export the Interaction graph object to a PDF image
igToPDF(g, path = "myFolder", fName = "myInteractionGraph", h = 2000)

#export an Interaction graph object to a PS image
igToPS(g, path = "myFolder", fName = "myInteractionGraph", h = 2000)

path parameter is a string indicating the path (folder) in which the output should be saved.

fName parameter is a string indicating the name of the output. It should be defined without extension and without spaces. If not specified differently, ‘InteractionGraph’ by default;

h is the desired height of the output image in pixels. If not defined differently, 2000 by default.

You can’t perform that action at this time.